Intel Unveils Nauta, a DL Framework for Containerized Clusters

Intel today unveiled Nauta, a new distributed computing framework for running deep learning models in Kubernetes and Docker-based environments. The chip giant says Nauta will make it easier for data scientists to develop, train, and deploy deep learning workloads on large clusters, "without all the systems overhead and scripting needed with standard container environments." Deep learning has become one of the hottest areas of machine learning, thanks to its capability to train highly accurate predictive models in areas like computer vision and natural language processing. The technique, however, generally requires huge amounts of data and large amounts of computing horsepower, which today's enterprises typically want to manage using containers. Getting all these pieces to work together – Kubernetes, Docker, and deep learning frameworks – is complex and hard.